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Daniel L. Moody
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2010 – 2019
- 2013
- [c38]Patrice Caire, Nicolas Genon, Patrick Heymans, Daniel Laurence Moody:
Visual notation design 2.0: Towards user comprehensible requirements engineering notations. RE 2013: 115-124 - 2012
- [c37]Nicolas Genon, Patrice Caire, Hubert Toussaint, Patrick Heymans, Daniel Laurence Moody:
Towards a More Semantically Transparent i* Visual Syntax. REFSQ 2012: 140-146 - 2010
- [j10]Graeme G. Shanks, Daniel L. Moody, Jasmina Nuredini, Daniel Tobin, Ron Weber:
Representing Classes of Things and Properties in General in Conceptual Modelling: An Empirical Evaluation. J. Database Manag. 21(2): 1-25 (2010) - [j9]Daniel Laurence Moody, Patrick Heymans, Raimundas Matulevicius:
Visual syntax does matter: improving the cognitive effectiveness of the i* visual notation. Requir. Eng. 15(2): 141-175 (2010) - [c36]Daniel L. Moody, Maria-Eugenia Iacob, Chintan Amrit, Roland Müller:
In Search of Paradigms: Identifying the Theoretical Foundations of the IS Field. ECIS 2010: 43 - [c35]Daniel L. Moody:
The "physics" of notations: a scientific approach to designing visual notations in software engineering. ICSE (2) 2010: 485-486
2000 – 2009
- 2009
- [j8]Daniel L. Moody:
The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering. IEEE Trans. Software Eng. 35(6): 756-779 (2009) - [c34]Frédéric Adam, Sven A. Carlsson, Ralph Sprague, David Sammon, Graeme G. Shanks, Daniel L. Moody, Christina Keller:
Panel: IS PhD research in the 21st century: A tale of candidates and their supervisors. ECIS 2009: 3026 - [c33]Daniel Laurence Moody, Patrick Heymans, Raimundas Matulevicius:
Improving the Effectiveness of Visual Representations in Requirements Engineering: An Evaluation of i* Visual Syntax. RE 2009: 171-180 - 2008
- [c32]Johan te Winkel, Daniel L. Moody, Chintan Amrit:
Desperately Avoiding Bureaucracy: Modularity as a Strategy for Organisational Innovation. ECIS 2008: 2330-2341 - [c31]Daniel L. Moody, Jos van Hillegersberg:
Evaluating the Visual Syntax of UML: An Analysis of the Cognitive Effectiveness of the UMLFamily of Diagrams. SLE 2008: 16-34 - 2005
- [j7]Daniel L. Moody:
Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. Data Knowl. Eng. 55(3): 243-276 (2005) - [j6]Marcela Genero Bocco, Daniel L. Moody, Mario Piattini:
Assessing the capability of internal metrics as early indicators of maintenance effort through experimentation. J. Softw. Maintenance Res. Pract. 17(3): 225-246 (2005) - 2004
- [c30]Daniel L. Moody:
Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis. ADBIS 2004: 129-143 - 2003
- [j5]Daniel L. Moody:
Using the World Wide Web to Connect Research and Professional Practice: Towards Evidence-Based Practice. Informing Sci. Int. J. an Emerg. Transdiscipl. 6: 31-48 (2003) - [j4]Daniel L. Moody, Graeme G. Shanks:
Improving the quality of data models: empirical validation of a quality management framework. Inf. Syst. 28(6): 619-650 (2003) - [j3]Guttorm Sindre, Daniel L. Moody, Terje Brasethvik, Arne Sølvberg:
Introducing Peer Review in an IS Analysis Course. J. Inf. Syst. Educ. 14(1): 101-119 (2003) - [c29]Daniel L. Moody:
Real World Testing of a Method for "Modularising" Large Data Models: An Action Research Programme. ACIS 2003 - [c28]Daniel L. Moody, Mark A. R. Kortink:
From ER Models to Star Schemas: Mapping From Operational Databases to Data Warehouse Designs. ACIS 2003 - [c27]Daniel L. Moody, Guttorm Sindre:
Managing Complexity in Object Oriented Analysis: Adapting UML for Modelling Large Scale Information Systems. ACIS 2003 - [c26]Daniel L. Moody:
Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis. DEXA 2003: 77-87 - [c25]Daniel L. Moody, Guttorm Sindre:
Evaluating the effectiveness of learning interventions: an information systems case study. ECIS 2003: 1311-1326 - [c24]Daniel L. Moody:
The method evaluation model: a theoretical model for validating information systems design methods. ECIS 2003: 1327-1336 - [c23]Daniel L. Moody:
Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice. ECIS 2003: 1337-1352 - [c22]Graeme G. Shanks, Jasmina Nuredini, Daniel Tobin, Daniel L. Moody, Ron Weber:
Representing things and properties in conceptual modelling: an empirical evaluation. ECIS 2003: 1775-1785 - [c21]Daniel L. Moody:
Dealing with Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models. ICIS 2003: 207-221 - [c20]Daniel L. Moody, Guttorm Sindre, Terje Brasethvik, Arne Sølvberg:
Evaluating the Quality of Information Models: Empirical Testing of a Conceptual Model Quality Framework. ICSE 2003: 295-307 - [c19]Daniel L. Moody, Guttorm Sindre:
Incorporating quality assurance processes into requirements analysis education. ITiCSE 2003: 74-78 - 2002
- [c18]Daniel L. Moody:
Validation of a method for representing large entity relationship models : An action research study. ECIS 2002: 391-405 - [c17]Daniel L. Moody:
Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods. ECIS 2002: 482-496 - [c16]Daniel L. Moody:
Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective. ER 2002: 214-231 - [c15]Daniel L. Moody:
Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. ER (Workshops) 2002: 241-242 - [c14]Daniel L. Moody, Guttorm Sindre, Terje Brasethvik, Arne Sølvberg:
Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework. ER 2002: 380-396 - 2000
- [c13]Daniel L. Moody, Mark A. R. Kortink:
From enterprise models to dimensional models: a methodology for data warehouse and data mart design. DMDW 2000: 5 - [c12]Daniel L. Moody:
Building links between IS research and professional practice: improving the relevance and impact of IS research. ICIS 2000: 351-360 - [c11]Daniel L. Moody:
A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach. ICSTM 2000 - [c10]Daniel L. Moody:
Measuring information health: a planning and evaluation tool to support IRM practice. IRMA Conference 2000: 388-392 - [c9]Daniel L. Moody:
Strategies for improving the quality of entity relationship models: a toolkit for practitioners. IRMA Conference 2000: 1043-1045
1990 – 1999
- 1999
- [c8]Daniel L. Moody, Peter Walsh:
Measuring the Value Of Information - An Asset Valuation Approach. ECIS 1999: 496-512 - [c7]Daniel L. Moody, Andrew Flitman:
A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach. ER 1999: 114-130 - 1998
- [j2]Daniel L. Moody, Graeme G. Shanks:
What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models. Aust. Comput. J. 30(3): 97-110 (1998) - [j1]Daniel L. Moody, Graeme G. Shanks:
Improving the Quality of Entity Relationship Models: An Action Research Programme. Aust. Comput. J. 30(4): 129-138 (1998) - [c6]Daniel L. Moody:
Metrics for Evaluating the Quality of Entity Relationship Models. ER 1998: 211-225 - [c5]Daniel L. Moody, Graeme G. Shanks, Peta Darke:
Improving the Quality of Entity Relationship Models - Experience in Research and Practice. ER 1998: 255-276 - 1997
- [c4]Daniel L. Moody:
A Multi-Level Architecture for Representing Enterprise Data Models. ER 1997: 184-197 - 1996
- [c3]Daniel L. Moody:
Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data. ER 1996: 227-244 - 1995
- [c2]Daniel L. Moody:
The Seven Habits of Highly Effective Data Modelers (and Object Modelers). OOER 1995: 436-437 - 1994
- [c1]Daniel L. Moody, Graeme G. Shanks:
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models. ER 1994: 94-111
Coauthor Index
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